## Finite MathematicsFinite Mathematics is designed for the one-term course in finite math taken primarily by students majoring in business, economics, life sciences, and the social sciences. The mathematical integrity of the previous edition has been maintained in the new edition. The core topics and their applications are presented in Parts One and Two of this text, and additional applications are developed in Part Three. Parts One and Two are independent of one another, thus either probability or linear mathematics may be studied first. The authors' emphasis is on developing and testing the student's problem-solving ability. They use discussions and examples to illustrate ideas and techniques to aid the student in acquiring these skills. Some examples and exercises are straightforward computation, while others require that the problem be solved by combining several techniques. Since it is impossible to provide examples of every type of problem the student will encounter in the text, the authors have identified and treated the fundamental principles that should be used in unfamiliar situations. |

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### Contents

PROBABILITY MODELS | 3 |

PROBABILITIES COUNTING AND EQUALLY | 39 |

RANDOM VARIABLES AVERAGES AND STATISTICS | 120 |

Copyright | |

9 other sections not shown

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adjacency matrix amount assigned augmented matrix ball basic solution Bernoulli process Bernoulli trials binomial random variable bond Chapter coefficient coin color column player constraints coordinates corner points cost defined denote density function described in Exercise determine digraph entry equal event Example Exercises for Section expected number experiment consists feasible set Find the probability flipped formula given graph inequalities initial tableau interest rate investment label linear programming problem loan Markov chain Maximize maximum ments normal random variable objective function obtained outcomes payments payoff matrix percent pivot element play pounds Pr[A Pr[B Pr[E Pr[X Pr[Z present value Problem Find production profit pure strategies result row player saddle point sample space shown in Figure simplex method slack variables solve standard deviation subsets Suppose system of equations Table testing tion transition matrix tree diagram vector vertex vertices widget